What role do LIME (Local Interpretable Model-agnostic Explanations) play in AI Explainability?

Instruction: Describe the LIME technique and its importance in enhancing the explainability of AI models.

Context: This question gauges the candidate's knowledge of specific AI Explainability techniques, particularly LIME. It looks at their ability to explain how LIME works to provide interpretable explanations for the predictions of complex, black-box models.

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The way I'd explain it in an interview is this: LIME helps explain individual predictions by approximating the model locally around a specific example with a simpler interpretable model. That makes it useful when you want to understand what drove one decision without having to explain the...

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